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Prof. Krištof Oštir, PhD
Former member

Former member

/Note: This data is outdated/

His main research fields are optical and radar remote sensing and image processing. In particular he has performed research in radar interferometry, digital elevation production, land use and land cover classification, post-processing and fuzzy classification. The applications of remote sensing range from hazard monitoring change detection, archaeological site analysis to paleo-environment and paleo-relief modelling. He is active in the development of small satellites for Earth observation. He is the author of the first Slovenian remote sensing monograph and of a number of papers on remote sensing, geographical information systems and computer engineering. He regularly participates in scientific conferences and has as a research fellow visited Hasylab (DESY, Germany), Institute for Photogrammetry and Remote Sensing (Technical University of Vienna, Austria), Austrian Academy of Sciences (Austria), and Centre National de la Recherche Scientifique (France).

He is employed at the Faculty of Civil and Geodetic Engineering, University of Ljubljana, as a professor of several courses on remote sensing and satellite image processing.

REIN (REpetetative INterpolation) lidar point filtering algorithm has been selected as on of the best innovations at the Slovenian Innovation Forum in 2007.
ZRC SAZU gold award, 2011.
NEREIDS - New Service Capabilities for Integrated and Advanced Maritime Surveillance (okvirni_program • 01. june 2011 - 31. may 2014)
Centre of Excellence Space-SI (centerodlicnosti • 18. march 2010 - 31. december 2018)
Anthropological and Spatial Studies (research programme • 01. january 2022 - 31. december 2027)

BSc, Faculty of Mathematics and Physics, University of Ljubljana, 1994
MSc, Faculty of Civil and Geodetic Engineering, University of Ljubljana, 1997
PhD, Faculty of Civil and Geodetic Engineering, University of Ljubljana, 2000

Research areas
Remote sensing T181
Space technology T320

small satellites
satellite image processing
remote sensing